MacBook Pro (14-inch, 2021)
Geekbench AI Score
3691
Single Precision Score
5646
Half Precision Score
4548
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 02:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.2 IPS |
|
|
Image Classification (Q)
|
96% |
1475
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2566
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21864
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16580
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2313
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1577
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5485
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
2850
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5876
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10419
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7406
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22317
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34403
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25654
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3803
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3237
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4651
80.4 IPS |
