MacBook Pro (14-inch, 2021)
Geekbench AI Score
1971
Single Precision Score
12825
Half Precision Score
10740
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
177.9 IPS |
|
|
Image Classification (HP)
|
100% |
7255
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6572
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3842
62.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
513
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
10155
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68539
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66436
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (HP)
|
99% |
7382
587.2 IPS |
|
|
Object Detection (Q)
|
93% |
7155
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
11180
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
11699
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3622
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45956
354.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
54516
426.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12207
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117413
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
113945
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18758
692.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23108
853.3 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (HP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3565
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2130
36.8 IPS |
