MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2638
Single Precision Score
15728
Half Precision Score
16422
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | August 31 2024 09:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.5 IPS |
|
|
Image Classification (HP)
|
100% |
6620
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
7325
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6454
104.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6413
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15038
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
102760
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
99251
116.4 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
9617
762.8 IPS |
|
|
Object Detection (Q)
|
93% |
9544
761.5 IPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
12687
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
14932
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4163
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61375
472.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
63607
491.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15928
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
148165
190.5 IPS |
|
|
Style Transfer (Q)
|
100% |
148390
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19221
709.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23259
861.7 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3616
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2705
46.8 IPS |
