MacBook Pro (16-inch, 2021)
Geekbench AI Score
8373
Single Precision Score
9390
Half Precision Score
8245
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | r00tb33r |
| Upload Date | November 11 2024 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4125
767.1 IPS |
|
|
Image Classification (HP)
|
100% |
4228
786.2 IPS |
|
|
Image Classification (Q)
|
97% |
3565
665.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6378
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6531
105.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6477
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32903
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34895
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32422
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4028
319.5 IPS |
|
|
Object Detection (HP)
|
100% |
4148
329.0 IPS |
|
|
Object Detection (Q)
|
91% |
3519
281.2 IPS |
|
|
Face Detection (SP)
|
100% |
14090
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
14808
176.0 IPS |
|
|
Face Detection (Q)
|
100% |
10658
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20075
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21004
161.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17542
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53872
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63975
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59926
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10951
404.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11738
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9003
332.4 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
