MacBook Pro (14-inch, 2021)
Geekbench AI Score
2019
Single Precision Score
12760
Half Precision Score
13153
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Destructico |
| Upload Date | August 15 2024 07:01 PM |
| Views | 15 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
7020
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
7362
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3874
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10176
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69456
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
66574
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (HP)
|
99% |
7507
597.2 IPS |
|
|
Object Detection (Q)
|
93% |
7158
571.1 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
11242
133.6 IPS |
|
|
Face Detection (Q)
|
100% |
11063
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46021
354.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
49230
380.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12169
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117413
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122906
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18688
690.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23307
863.5 IPS |
|
|
Text Classification (SP)
|
100% |
576
769.2 IPS |
|
|
Text Classification (HP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3430
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2131
36.8 IPS |
