MacBook Pro (14-inch, 2021)
Geekbench AI Score
1834
Single Precision Score
12473
Half Precision Score
12395
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | August 18 2024 01:48 PM |
| Views | 2 |
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 | 3.18 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
6620
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
6892
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3789
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8644
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69412
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65451
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (HP)
|
99% |
6898
548.8 IPS |
|
|
Object Detection (Q)
|
93% |
6774
540.5 IPS |
|
|
Face Detection (SP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
10478
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
11360
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2973
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44693
344.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
48431
374.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10757
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116861
150.2 IPS |
|
|
Style Transfer (Q)
|
100% |
122594
157.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18817
694.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22881
847.7 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (HP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2120
36.6 IPS |
