MacBook Pro (14-inch, 2021)
Geekbench AI Score
3746
Single Precision Score
13877
Half Precision Score
14331
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | RichardScarry |
| Upload Date | August 23 2024 06:47 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
6950
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7226
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5891
95.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5876
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11126
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68765
80.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64201
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
7385
587.5 IPS |
|
|
Object Detection (Q)
|
91% |
7399
591.2 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
11959
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
13529
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6022
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44689
344.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
49406
382.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22414
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117081
150.5 IPS |
|
|
Style Transfer (Q)
|
100% |
122214
157.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25387
937.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27539
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2157
37.3 IPS |
