MacBook Pro (14-inch, 2021)
Geekbench AI Score
2752
Single Precision Score
4142
Half Precision Score
3454
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 15 2024 10:43 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
99% |
1600
298.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1167
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5613
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13127
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11214
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
1900
151.2 IPS |
|
|
Object Detection (Q)
|
94% |
1471
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2633
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5015
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7632
59.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3602
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14788
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23612
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23645
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3236
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3464
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3131
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3125
54.0 IPS |
