MacBook Pro (14-inch, 2021)
Geekbench AI Score
7570
Single Precision Score
8709
Half Precision Score
7350
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3771
701.3 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.3 IPS |
|
|
Image Classification (Q)
|
97% |
3252
606.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5862
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5816
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29793
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31333
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29110
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (HP)
|
100% |
3878
307.6 IPS |
|
|
Object Detection (Q)
|
91% |
3218
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
13269
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
13587
161.4 IPS |
|
|
Face Detection (Q)
|
100% |
9610
114.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17356
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17928
138.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14712
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50074
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58997
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54932
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10581
390.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10870
401.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8532
315.0 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
