MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3936
Single Precision Score
5456
Half Precision Score
4516
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | vincentoma |
| Upload Date | August 27 2024 03:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.4 IPS |
|
|
Image Classification (Q)
|
99% |
2040
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14445
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (HP)
|
97% |
2584
205.7 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3408
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6800
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9781
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4147
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19920
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29594
38.0 IPS |
|
|
Style Transfer (Q)
|
100% |
29356
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5374
198.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4202
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4972
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4898
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4571
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4811
83.1 IPS |
