MacBook Pro (14-inch, 2021)
Geekbench AI Score
2762
Single Precision Score
4182
Half Precision Score
3479
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 15 2024 10:10 PM |
| Views | 5 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1599
297.4 IPS |
|
|
Image Classification (Q)
|
99% |
1587
296.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1187
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
12869
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11173
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
1871
148.9 IPS |
|
|
Object Detection (Q)
|
94% |
1441
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5013
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7889
61.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3826
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14596
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23657
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23637
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3281
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3251
120.5 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3141
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3108
53.7 IPS |
