MacBook Pro (14-inch, 2021)
Geekbench AI Score
3754
Single Precision Score
5783
Half Precision Score
4715
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 07:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2054
382.0 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11057
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22618
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17058
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10982
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7241
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22597
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34914
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27381
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6216
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4007
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3258
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4780
82.6 IPS |
