MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18482
Single Precision Score
20738
Half Precision Score
18910
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | July 22 2025 09:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5074c) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7204
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7460
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
7334
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19303
312.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19991
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19214
311.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90964
106.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92653
108.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
90644
106.2 IPS |
|
|
Object Detection (SP)
|
100% |
7146
566.8 IPS |
|
|
Object Detection (HP)
|
100% |
8026
636.6 IPS |
|
|
Object Detection (Q)
|
92% |
7363
587.7 IPS |
|
|
Face Detection (SP)
|
100% |
31636
375.9 IPS |
|
|
Face Detection (HP)
|
100% |
35125
417.4 IPS |
|
|
Face Detection (Q)
|
100% |
29734
353.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37399
288.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40456
311.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37002
289.0 IPS |
|
|
Style Transfer (SP)
|
100% |
185737
238.8 IPS |
|
|
Style Transfer (HP)
|
100% |
200237
257.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191669
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23625
872.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24262
895.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21774
804.0 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4869
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2838
49.0 IPS |
