MacBook Pro (14-inch, 2021)
Geekbench AI Score
2064
Single Precision Score
12871
Half Precision Score
13243
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 03:31 AM |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (HP)
|
100% |
7266
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
7707
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3871
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3849
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9935
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
68686
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64881
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
99% |
7585
603.4 IPS |
|
|
Object Detection (Q)
|
93% |
7177
572.6 IPS |
|
|
Face Detection (SP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
11278
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
11860
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3477
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46291
356.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
49388
381.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12063
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116822
150.2 IPS |
|
|
Style Transfer (Q)
|
100% |
122128
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18804
694.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23061
854.4 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3359
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1565
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2169
37.5 IPS |
