MacBook Pro (14-inch, 2021)
Geekbench AI Score
3693
Single Precision Score
5927
Half Precision Score
4714
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 07:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22366
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17323
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1718
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10419
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7090
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22032
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33993
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26161
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4399
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5954
219.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4101
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4820
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4838
83.6 IPS |
