MacBook Pro (14-inch, 2021)
Geekbench AI Score
8539
Single Precision Score
9377
Half Precision Score
8297
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mcolsen |
| Upload Date | December 17 2024 11:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4061
755.2 IPS |
|
|
Image Classification (HP)
|
100% |
4092
761.0 IPS |
|
|
Image Classification (Q)
|
97% |
3523
657.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6331
102.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6435
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32952
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34908
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32361
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.2 IPS |
|
|
Object Detection (HP)
|
100% |
4109
325.9 IPS |
|
|
Object Detection (Q)
|
91% |
3427
273.8 IPS |
|
|
Face Detection (SP)
|
100% |
14106
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
14774
175.5 IPS |
|
|
Face Detection (Q)
|
100% |
10525
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19766
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20700
159.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17580
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53875
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63879
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59952
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10899
402.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11291
416.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8953
330.6 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1561
27.0 IPS |
