MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10029
Single Precision Score
11108
Half Precision Score
3503
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5753
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6208
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
4809
897.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7689
124.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9912
160.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10024
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45432
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48414
56.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
44248
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5924
469.9 IPS |
|
|
Object Detection (HP)
|
100% |
6208
492.4 IPS |
|
|
Object Detection (Q)
|
92% |
5036
401.9 IPS |
|
|
Face Detection (SP)
|
100% |
15923
189.2 IPS |
|
|
Face Detection (HP)
|
100% |
19324
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
14217
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28111
216.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30761
237.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
94063
120.9 IPS |
|
|
Style Transfer (HP)
|
100% |
106647
137.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98620
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15387
568.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16811
620.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12077
446.0 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.0 IPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
695
933.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2201
38.0 IPS |
