MacBook Pro (14-inch, 2021)
Geekbench AI Score
3749
Single Precision Score
5709
Half Precision Score
4733
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11135
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22117
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17251
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.3 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3097
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10815
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7410
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22268
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34652
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26995
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4019
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3119
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4821
83.3 IPS |
