MacBook Pro (14-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
15428
Half Precision Score
14910
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HarshKarwal |
| Upload Date | October 04 2024 08:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
6695
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6420
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9692
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10198
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10609
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
71106
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65654
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
7882
627.0 IPS |
|
|
Object Detection (Q)
|
91% |
7359
588.0 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
12649
150.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5945
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50672
390.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53165
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21449
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120089
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116873
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25613
945.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27677
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2125
36.7 IPS |
