MacBook Pro (16-inch, 2021)
Geekbench AI Score
3378
Single Precision Score
15550
Half Precision Score
15440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 15 2024 11:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
6358
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6158
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9311
150.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9869
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9791
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
70364
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65443
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
99% |
7313
581.7 IPS |
|
|
Object Detection (Q)
|
91% |
6978
557.5 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
14734
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
13745
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5206
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49214
379.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
51291
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20533
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118020
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113924
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24790
915.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26923
994.2 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3628
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2923
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3538
61.1 IPS |
