MacBook Pro (14-inch, 2021)
Geekbench AI Score
3671
Single Precision Score
16431
Half Precision Score
16365
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 17 2025 01:39 AM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6915
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6654
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70332
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65588
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
7977
634.6 IPS |
|
|
Object Detection (Q)
|
91% |
7529
601.6 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16094
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15105
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51648
397.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
52752
412.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21900
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120321
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117562
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25815
953.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27990
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3853
66.6 IPS |
