MacBook Pro (14-inch, 2021)
Geekbench AI Score
3723
Single Precision Score
5757
Half Precision Score
4729
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mcolsen |
| Upload Date | December 17 2024 11:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2664
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11154
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22587
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17013
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1743
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5167
61.4 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10807
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7408
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22317
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34838
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27320
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6455
238.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3251
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4800
82.9 IPS |
