MacBook Pro (14-inch, 2021)
Geekbench AI Score
2087
Single Precision Score
12753
Half Precision Score
13118
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Kewl |
| Upload Date | August 16 2024 08:48 PM |
| Views | 4 |
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, 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% |
952
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
6904
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7283
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3843
62.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3844
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10170
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68959
80.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64224
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
99% |
7580
603.0 IPS |
|
|
Object Detection (Q)
|
93% |
7292
581.8 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
11394
135.4 IPS |
|
|
Face Detection (Q)
|
100% |
11782
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3512
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45788
352.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
49094
379.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12148
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117085
150.5 IPS |
|
|
Style Transfer (Q)
|
100% |
122940
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18715
691.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22838
846.1 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3332
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2128
36.8 IPS |
