MacBook Pro (14-inch, 2021)
Geekbench AI Score
2580
Single Precision Score
3980
Half Precision Score
3477
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 04:21 PM |
| Views | 4 |
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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (Q)
|
96% |
1242
232.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1649
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4902
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10213
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
97% |
1754
139.6 IPS |
|
|
Object Detection (Q)
|
94% |
1398
111.4 IPS |
|
|
Face Detection (SP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
2411
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7673
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5536
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13863
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22135
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18953
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3181
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3650
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2983
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3011
52.0 IPS |
