MacBook Pro (14-inch, 2021)
Geekbench AI Score
2726
Single Precision Score
4142
Half Precision Score
3498
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 03:22 AM |
| Views | 2 |
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, 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% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.3 IPS |
|
|
Image Classification (Q)
|
99% |
1628
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1167
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13030
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11224
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
1818
144.7 IPS |
|
|
Object Detection (Q)
|
94% |
1458
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7858
60.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3955
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14664
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23459
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23627
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3293
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3257
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3126
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3170
54.8 IPS |
