MacBook Pro (16-inch, 2024)
Geekbench AI Score
5522
Single Precision Score
9163
Half Precision Score
7099
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cconnor |
| Upload Date | June 24 2025 07:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.9 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17867
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32539
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24408
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
7961
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
4702
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8771
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14759
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10342
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26155
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51970
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39963
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10174
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6092
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5922
102.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9205
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9274
160.3 IPS |
