MacBook Pro (16-inch, 2021)
Geekbench AI Score
3569
Single Precision Score
5546
Half Precision Score
4775
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
1825
339.4 IPS |
|
|
Image Classification (Q)
|
99% |
1813
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2133
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10351
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20623
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16932
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2342
186.5 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3062
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10860
83.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10883
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22185
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34810
44.7 IPS |
|
|
Style Transfer (Q)
|
100% |
34974
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6322
233.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3197
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3214
55.5 IPS |
