MacBook Pro (16-inch, 2021)
Geekbench AI Score
3645
Single Precision Score
5756
Half Precision Score
4654
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (Q)
|
96% |
1478
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21889
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16905
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2284
181.8 IPS |
|
|
Object Detection (Q)
|
94% |
1653
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5223
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10296
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7196
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21940
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34579
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26426
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4245
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6217
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4011
148.1 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3684
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4678
80.8 IPS |
