MacBook Pro (14-inch, 2021)
Geekbench AI Score
1935
Single Precision Score
13046
Half Precision Score
13495
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | September 02 2024 01:06 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
902
167.7 IPS |
|
|
Image Classification (HP)
|
100% |
7253
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
7698
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3882
62.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10206
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69750
81.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
66394
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
99% |
7347
584.4 IPS |
|
|
Object Detection (Q)
|
93% |
7186
573.3 IPS |
|
|
Face Detection (SP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
11557
137.3 IPS |
|
|
Face Detection (Q)
|
100% |
12228
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3453
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46753
360.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49910
385.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12086
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118559
152.4 IPS |
|
|
Style Transfer (Q)
|
100% |
124620
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19047
703.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23225
860.5 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (HP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2142
37.0 IPS |
