MacBook Pro (14-inch, 2021)
Geekbench AI Score
3660
Single Precision Score
16221
Half Precision Score
16375
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dudsdud |
| Upload Date | August 11 2025 03:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.18 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6619
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10276
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
71614
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
68070
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
8003
636.6 IPS |
|
|
Object Detection (Q)
|
91% |
7440
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
15193
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
15027
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5741
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51764
398.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54079
422.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21736
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121858
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117275
151.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25830
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28041
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
