MacBook Pro (14-inch, 2021)
Geekbench AI Score
6605
Single Precision Score
7083
Half Precision Score
2315
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 09 2024 11:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3704
688.8 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.6 IPS |
|
|
Image Classification (Q)
|
97% |
2847
531.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6016
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5901
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33022
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34325
40.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
30711
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (HP)
|
100% |
3887
308.3 IPS |
|
|
Object Detection (Q)
|
92% |
3008
240.1 IPS |
|
|
Face Detection (SP)
|
100% |
12648
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
13367
158.8 IPS |
|
|
Face Detection (Q)
|
100% |
9197
109.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19522
150.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19863
153.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53433
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63168
81.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59675
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10975
405.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11566
427.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8667
320.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (HP)
|
100% |
524
700.1 IPS |
|
|
Text Classification (Q)
|
93% |
589
789.9 IPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1018
17.6 IPS |
