MacBook Pro (16-inch, 2024)/M4 Max MacBook Pro (16-inch, 2024)
Geekbench AI Score
5888
Single Precision Score
35214
Half Precision Score
48704
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:53 AM |
| Views | 6 |
| Notes | MacBook Pro (16-inch, 2024)/M4 Max 14Core CPU/32Core GPU//36GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
16724
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22464
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22551
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31104
504.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19033
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123133
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230122
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2546
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
18813
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
22862
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
44085
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
61388
729.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8992
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103507
797.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175033
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
36290
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233222
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296399
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45707
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76531
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5386
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15654
269.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15563
269.0 IPS |
