MacBook Pro (16-inch, 2024)
Geekbench AI Score
5940
Single Precision Score
35712
Half Precision Score
49421
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 31 2025 09:53 PM |
| Views | 4 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
16912
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
21866
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22553
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30759
498.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19216
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123114
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230394
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
19050
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23412
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
45156
536.5 IPS |
|
|
Face Detection (Q)
|
100% |
57413
682.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8906
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
109652
844.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177873
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37031
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233200
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294828
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45347
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77859
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4336
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6029
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16615
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16631
287.4 IPS |
