MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15585
Single Precision Score
19642
Half Precision Score
17440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 11:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7390
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7988
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6783
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13555
219.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14602
236.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15101
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
66542
77.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69343
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65661
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
7147
566.9 IPS |
|
|
Object Detection (HP)
|
100% |
7612
603.8 IPS |
|
|
Object Detection (Q)
|
91% |
6376
509.5 IPS |
|
|
Face Detection (SP)
|
100% |
26322
312.8 IPS |
|
|
Face Detection (HP)
|
100% |
30625
363.9 IPS |
|
|
Face Detection (Q)
|
100% |
22742
270.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32401
249.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34800
268.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
28385
221.8 IPS |
|
|
Style Transfer (SP)
|
100% |
144396
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160887
206.8 IPS |
|
|
Style Transfer (Q)
|
96% |
150142
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21685
800.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22837
843.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18505
683.3 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5066
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4796
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7000
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
