MacBook Pro (14-inch, 2021)
Geekbench AI Score
7420
Single Precision Score
8140
Half Precision Score
6298
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 02:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
3615
672.2 IPS |
|
|
Image Classification (HP)
|
100% |
3685
685.3 IPS |
|
|
Image Classification (Q)
|
99% |
3203
597.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5848
94.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5898
95.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5717
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29744
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31267
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
27712
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3638
288.5 IPS |
|
|
Object Detection (HP)
|
100% |
3800
301.4 IPS |
|
|
Object Detection (Q)
|
91% |
2908
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
12837
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
13445
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
9269
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17176
132.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17634
135.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
3282
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49953
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
58666
75.4 IPS |
|
|
Style Transfer (Q)
|
100% |
58030
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10235
377.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10668
393.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7706
285.5 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1342
23.2 IPS |
