MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2540
Single Precision Score
2605
Half Precision Score
1922
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B2073) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
1289
239.7 IPS |
|
|
Image Classification (Q)
|
99% |
1286
239.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8640
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13964
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7365
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (Q)
|
94% |
672
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
916
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4495
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4533
35.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4600
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12891
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14997
19.3 IPS |
|
|
Style Transfer (Q)
|
100% |
14982
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1356
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.2 IPS |
|
|
Text Classification (HP)
|
100% |
638
851.7 IPS |
|
|
Text Classification (Q)
|
93% |
635
851.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2434
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2415
41.7 IPS |
