MacBook Pro (16-inch, 2021)
Geekbench AI Score
3740
Single Precision Score
5679
Half Precision Score
4727
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 04:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.0 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22210
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17472
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2137
170.2 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.8 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5379
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10720
82.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34810
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26275
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4040
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3184
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4802
83.0 IPS |
