MacBook Pro (14-inch, 2021)
Geekbench AI Score
3436
Single Precision Score
15694
Half Precision Score
15476
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Suginoko |
| Upload Date | November 03 2024 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6600
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9611
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10324
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11140
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70170
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65961
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
7266
578.0 IPS |
|
|
Object Detection (Q)
|
91% |
6949
555.2 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
14800
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
14035
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5617
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50300
387.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52020
406.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20622
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119616
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114641
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24252
895.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26714
986.4 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2907
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
