MacBook Pro (14-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
16490
Half Precision Score
16324
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HJD |
| Upload Date | November 18 2024 06:06 AM |
| Views | 4 |
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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6909
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6575
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10351
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11166
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70545
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66003
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7915
629.6 IPS |
|
|
Object Detection (Q)
|
91% |
7453
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
15912
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
14939
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5876
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51514
396.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53793
420.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22359
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120654
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116546
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25937
957.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28016
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3940
68.1 IPS |
