MacBook Pro (14-inch, 2021)
Geekbench AI Score
3751
Single Precision Score
13818
Half Precision Score
14449
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | November 16 2024 06:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6796
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7255
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5875
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11185
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69446
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
66894
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7339
583.8 IPS |
|
|
Object Detection (Q)
|
91% |
7395
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
10503
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
13236
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5923
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45651
351.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
49596
383.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117375
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
123075
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26042
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27784
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2135
36.9 IPS |
