MacBook Pro (14-inch, 2021)
Geekbench AI Score
3744
Single Precision Score
16303
Half Precision Score
16148
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kunalkapoor |
| Upload Date | November 09 2024 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
6660
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6464
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9650
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10248
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11175
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69659
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65693
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
8086
643.2 IPS |
|
|
Object Detection (Q)
|
91% |
7358
587.9 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
15777
187.5 IPS |
|
|
Face Detection (Q)
|
100% |
14818
176.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5874
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51006
393.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53069
414.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119967
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115536
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4367
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25558
943.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27968
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3807
65.8 IPS |
