MacBook Pro (14-inch, 2021)
Geekbench AI Score
3764
Single Precision Score
16203
Half Precision Score
16136
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 05:12 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 24B83) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
6924
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6568
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9661
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10299
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11285
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70263
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65701
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7824
622.4 IPS |
|
|
Object Detection (Q)
|
91% |
7495
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
15503
184.2 IPS |
|
|
Face Detection (Q)
|
100% |
14718
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5930
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50969
392.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
52945
413.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22535
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119763
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115880
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4356
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25706
949.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27868
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3541
61.2 IPS |
