MacBook Pro (14-inch, 2021)
Geekbench AI Score
3637
Single Precision Score
16402
Half Precision Score
16377
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jrondorf |
| Upload Date | April 25 2025 01:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
6946
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6601
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9652
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10419
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11088
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70483
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67415
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
7969
633.9 IPS |
|
|
Object Detection (Q)
|
91% |
7523
601.2 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14989
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51683
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53817
420.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121220
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117352
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25820
953.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28048
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3672
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3824
66.1 IPS |
