MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4766
Single Precision Score
7521
Half Precision Score
6373
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | October 30 2024 08:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
99% |
2369
441.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16672
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28685
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
21140
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2149
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
6504
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7309
56.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13121
101.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13008
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30637
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42180
54.2 IPS |
|
|
Style Transfer (Q)
|
100% |
42337
54.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7843
289.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4974
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4775
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4760
82.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7111
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7389
127.7 IPS |
