MacBook Pro (14-inch, 2021)
Geekbench AI Score
8329
Single Precision Score
9346
Half Precision Score
7924
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 01:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4035
750.4 IPS |
|
|
Image Classification (HP)
|
100% |
4183
777.9 IPS |
|
|
Image Classification (Q)
|
97% |
3056
570.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6349
102.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6514
105.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6301
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32941
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34923
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32012
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
4144
328.7 IPS |
|
|
Object Detection (Q)
|
91% |
3233
258.4 IPS |
|
|
Face Detection (SP)
|
100% |
14030
166.7 IPS |
|
|
Face Detection (HP)
|
100% |
14646
174.0 IPS |
|
|
Face Detection (Q)
|
100% |
10177
120.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20029
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20850
160.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
16292
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53927
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63864
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59272
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11033
407.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11513
425.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8550
315.7 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |
