MacBook Pro (14-inch, 2021)
Geekbench AI Score
3773
Single Precision Score
5884
Half Precision Score
4802
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | November 04 2024 10:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11133
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22365
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17341
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1575
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2365
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5479
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11035
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7500
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22563
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35607
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27658
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6316
233.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4026
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4079
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3471
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4935
85.3 IPS |
