MacBook Pro (16-inch, 2024)
Geekbench AI Score
5950
Single Precision Score
9550
Half Precision Score
7239
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cmacera |
| Upload Date | March 15 2026 02:31 PM |
| Views | 7 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.3 IPS |
|
|
Image Classification (Q)
|
96% |
2174
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17871
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34319
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27089
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
3930
312.9 IPS |
|
|
Object Detection (Q)
|
94% |
2781
221.6 IPS |
|
|
Face Detection (SP)
|
100% |
5252
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
8691
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
4864
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9013
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15504
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9765
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30890
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57553
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44246
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7093
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9552
352.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5449
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3285
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6472
111.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9657
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9576
165.5 IPS |
