MacBook Pro (14-inch, 2021)
Geekbench AI Score
3594
Single Precision Score
13123
Half Precision Score
13237
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mrguppy |
| Upload Date | October 09 2025 07:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
1246
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
4763
885.7 IPS |
|
|
Image Classification (Q)
|
96% |
4237
791.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8111
131.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9204
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10373
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
62136
72.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
62177
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
6482
515.6 IPS |
|
|
Object Detection (Q)
|
91% |
6454
515.7 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
12455
148.0 IPS |
|
|
Face Detection (Q)
|
100% |
11928
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5715
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33663
259.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
33118
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22221
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
101481
130.5 IPS |
|
|
Style Transfer (Q)
|
96% |
98546
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4188
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14524
536.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17492
645.9 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3803
65.7 IPS |
