MacBook Pro (14-inch, 2021)
Geekbench AI Score
2733
Single Precision Score
4160
Half Precision Score
3655
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 09 2024 11:24 PM |
| Views | 4 |
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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (Q)
|
96% |
1273
237.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5624
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13055
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11371
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
1904
151.6 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2657
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5065
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7894
61.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6030
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14802
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23603
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20128
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4026
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3270
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3556
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3148
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3168
54.7 IPS |
