MacBook Pro (16-inch, 2024)
Geekbench AI Score
6008
Single Precision Score
9606
Half Precision Score
7322
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | heyjoegfx |
| Upload Date | March 18 2026 12:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
3145
584.9 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3983
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18325
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34913
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
27170
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2697
214.0 IPS |
|
|
Object Detection (HP)
|
97% |
3961
315.3 IPS |
|
|
Object Detection (Q)
|
94% |
2799
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
8828
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
4903
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8993
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15522
120.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9838
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31565
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58048
74.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44061
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9651
356.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5530
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6492
111.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9848
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9919
171.4 IPS |
