MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11811
Single Precision Score
13865
Half Precision Score
12087
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6437
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5472
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7514
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45381
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48280
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45815
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6035
478.7 IPS |
|
|
Object Detection (HP)
|
100% |
6395
507.2 IPS |
|
|
Object Detection (Q)
|
91% |
5311
424.4 IPS |
|
|
Face Detection (SP)
|
100% |
17078
202.9 IPS |
|
|
Face Detection (HP)
|
100% |
21391
254.2 IPS |
|
|
Face Detection (Q)
|
100% |
16113
191.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27346
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30074
231.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
24923
194.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92618
119.1 IPS |
|
|
Style Transfer (HP)
|
100% |
105590
135.7 IPS |
|
|
Style Transfer (Q)
|
96% |
100234
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15289
564.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16419
606.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12329
455.2 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4820
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2001
34.6 IPS |
