MacBook Pro (14-inch, 2021)
Geekbench AI Score
1940
Single Precision Score
12672
Half Precision Score
13093
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | szeka |
| Upload Date | August 15 2024 07:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
6915
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7248
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3844
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10137
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68557
80.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64201
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
99% |
7400
588.6 IPS |
|
|
Object Detection (Q)
|
93% |
7114
567.7 IPS |
|
|
Face Detection (SP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
11086
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
11628
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3512
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45633
351.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
50186
388.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12186
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116838
150.2 IPS |
|
|
Style Transfer (Q)
|
100% |
122256
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18654
688.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22843
846.3 IPS |
|
|
Text Classification (SP)
|
100% |
352
470.2 IPS |
|
|
Text Classification (HP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3371
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2119
36.6 IPS |
