MacBook Pro (14-inch, 2021)
Geekbench AI Score
6894
Single Precision Score
6468
Half Precision Score
5912
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Kewl |
| Upload Date | August 16 2024 08:39 PM |
| Views | 6 |
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, 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% |
3425
636.9 IPS |
|
|
Image Classification (HP)
|
100% |
3510
652.7 IPS |
|
|
Image Classification (Q)
|
99% |
3023
563.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5556
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5599
90.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5447
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29918
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30818
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27443
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3480
276.0 IPS |
|
|
Object Detection (HP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (Q)
|
92% |
2838
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
11820
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
12264
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
8399
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17054
131.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17343
133.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
17277
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49753
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58381
75.0 IPS |
|
|
Style Transfer (Q)
|
100% |
57761
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10661
393.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11009
406.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8272
306.5 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
406
542.5 IPS |
|
|
Text Classification (Q)
|
93% |
549
736.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
