MacBook Pro (14-inch, 2021)
Geekbench AI Score
1993
Single Precision Score
12727
Half Precision Score
10671
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 09 2024 11:05 PM |
| Views | 3 |
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% |
964
179.2 IPS |
|
|
Image Classification (HP)
|
100% |
6907
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6314
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
520
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
10162
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68456
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65962
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1096
87.0 IPS |
|
|
Object Detection (HP)
|
99% |
7377
586.9 IPS |
|
|
Object Detection (Q)
|
93% |
7120
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
11171
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
11665
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3518
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45616
351.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54444
425.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12175
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116995
150.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113854
146.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18710
690.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23107
853.3 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.3 IPS |
|
|
Text Classification (HP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (Q)
|
93% |
3507
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2119
36.6 IPS |
