MacBook Pro (16-inch, 2024)
Geekbench AI Score
5526
Single Precision Score
37458
Half Precision Score
51049
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cconnor |
| Upload Date | June 24 2025 07:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
17927
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22426
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22855
370.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32185
521.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17794
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123204
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230600
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
19700
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24524
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44225
525.5 IPS |
|
|
Face Detection (Q)
|
100% |
66087
785.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110622
852.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179956
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26676
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233033
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301029
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46783
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79800
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6275
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5938
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16343
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16508
285.3 IPS |
