MacBook Pro (14-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
15624
Half Precision Score
15357
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Karp |
| Upload Date | December 30 2024 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6495
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6142
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9473
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10064
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11166
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70035
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65328
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7435
591.5 IPS |
|
|
Object Detection (Q)
|
91% |
7041
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
13984
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
11922
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49314
379.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
51693
404.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22375
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118722
152.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114837
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25765
951.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27676
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3373
58.3 IPS |
