MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4802
Single Precision Score
7435
Half Precision Score
5996
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DSM2 |
| Upload Date | November 04 2024 10:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2662
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16757
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27441
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21693
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2190
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7349
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13214
102.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9058
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31043
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43939
56.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33499
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7648
282.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5124
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4693
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7046
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7155
123.6 IPS |
