MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4379
Single Precision Score
7466
Half Precision Score
5963
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | benjyfeen |
| Upload Date | November 02 2024 10:04 PM |
| Views | 7 |
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 | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.8 IPS |
|
|
Image Classification (Q)
|
96% |
1796
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16756
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27951
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21678
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
97% |
3007
239.4 IPS |
|
|
Object Detection (Q)
|
94% |
2179
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3968
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7415
57.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13014
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9066
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30405
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42865
55.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32921
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7860
290.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5051
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4847
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4815
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7009
121.1 IPS |
