MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
9819
Single Precision Score
10843
Half Precision Score
3450
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jackhuang2024 |
| Upload Date | September 20 2024 09:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5740
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6117
1.14 KIPS |
|
|
Image Classification (Q)
|
97% |
4581
854.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7712
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9704
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9879
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45437
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48247
56.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
43500
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
5760
456.9 IPS |
|
|
Object Detection (HP)
|
100% |
5998
475.8 IPS |
|
|
Object Detection (Q)
|
92% |
4869
388.6 IPS |
|
|
Face Detection (SP)
|
100% |
16338
194.1 IPS |
|
|
Face Detection (HP)
|
100% |
20038
238.1 IPS |
|
|
Face Detection (Q)
|
100% |
14539
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27347
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29829
229.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
184.7 IPS |
|
|
Style Transfer (SP)
|
100% |
92820
119.3 IPS |
|
|
Style Transfer (HP)
|
100% |
105121
135.1 IPS |
|
|
Style Transfer (Q)
|
96% |
97835
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14804
546.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16231
599.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12067
445.6 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.6 IPS |
|
|
Text Classification (HP)
|
100% |
693
925.1 IPS |
|
|
Text Classification (Q)
|
93% |
696
933.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
