MacBook Pro (16-inch, 2021)
Geekbench AI Score
3431
Single Precision Score
5228
Half Precision Score
4236
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 11 2024 10:45 AM |
| Views | 6 |
| Notes | MacBook Pro 16“ M1 Pro |
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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
1818
338.1 IPS |
|
|
Image Classification (Q)
|
96% |
1294
241.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2336
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10127
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20601
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14940
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2141
170.5 IPS |
|
|
Object Detection (Q)
|
94% |
1560
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
4747
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
2728
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5343
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9868
76.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6650
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20226
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31706
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24380
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3592
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2937
50.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4494
77.7 IPS |
