MacBook Pro (14-inch, 2021)
Geekbench AI Score
3766
Single Precision Score
15481
Half Precision Score
15985
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:54 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, 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
7094
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7543
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8166
132.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
8199
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11104
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69042
80.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
64579
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7528
598.8 IPS |
|
|
Object Detection (Q)
|
91% |
7556
603.7 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
12040
143.1 IPS |
|
|
Face Detection (Q)
|
100% |
13609
161.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6040
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46148
355.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
49520
382.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22580
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117750
151.4 IPS |
|
|
Style Transfer (Q)
|
100% |
122128
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25913
956.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28203
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3980
68.8 IPS |
