MacBook Pro (14-inch, 2021)
Geekbench AI Score
2745
Single Precision Score
4187
Half Precision Score
3516
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gerald |
| Upload Date | August 15 2024 06:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
99% |
1600
298.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1175
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13119
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11234
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
97% |
1902
151.4 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2656
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7887
60.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4019
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14747
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23669
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23637
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3328
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3139
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3138
54.2 IPS |
