MacBook Pro (14-inch, 2021)
Geekbench AI Score
3785
Single Precision Score
16408
Half Precision Score
16482
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Merlion |
| Upload Date | December 24 2024 02:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1352
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
7103
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6789
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9759
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10451
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11228
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71309
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67540
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
99% |
8134
647.1 IPS |
|
|
Object Detection (Q)
|
91% |
7600
607.2 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
13813
164.1 IPS |
|
|
Face Detection (Q)
|
100% |
13849
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51355
395.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54825
428.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22455
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121238
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117283
151.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4421
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26461
977.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28555
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3871
66.9 IPS |
