MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4210
Single Precision Score
6973
Half Precision Score
5626
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
2790
518.9 IPS |
|
|
Image Classification (Q)
|
96% |
1931
360.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8976
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14938
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.8 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
4037
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13437
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9232
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22435
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33417
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27547
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4350
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6501
112.4 IPS |
