MacBook Pro (14-inch, 2021)
Geekbench AI Score
2719
Single Precision Score
4151
Half Precision Score
3587
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 01:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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 | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1243
231.2 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
96% |
1224
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1641
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5488
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
12830
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11130
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
97% |
1878
149.5 IPS |
|
|
Object Detection (Q)
|
94% |
1454
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2523
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7766
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5898
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14719
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23644
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19893
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3272
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3289
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3105
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3124
54.0 IPS |
