MacBook Pro (16-inch, 2021)
Geekbench AI Score
3761
Single Precision Score
14856
Half Precision Score
15361
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:08 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
6688
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
7137
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7990
129.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
7981
129.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11092
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
67644
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65022
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7044
560.3 IPS |
|
|
Object Detection (Q)
|
91% |
7032
561.9 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
11330
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
12559
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5876
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44716
344.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
48033
371.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22437
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
115470
148.4 IPS |
|
|
Style Transfer (Q)
|
100% |
121732
156.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4412
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26194
967.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28159
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3388
58.5 IPS |
