MacBook Pro (14-inch, 2021)
Geekbench AI Score
7938
Single Precision Score
8717
Half Precision Score
7295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | September 30 2024 03:02 AM |
| Views | 7 |
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, 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% |
3748
697.1 IPS |
|
|
Image Classification (HP)
|
100% |
3863
718.4 IPS |
|
|
Image Classification (Q)
|
97% |
2903
541.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5876
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5894
95.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5706
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29787
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31306
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
28484
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.7 IPS |
|
|
Object Detection (HP)
|
100% |
3890
308.6 IPS |
|
|
Object Detection (Q)
|
91% |
2980
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
12975
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
13527
160.7 IPS |
|
|
Face Detection (Q)
|
100% |
9346
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17319
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17837
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13869
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49833
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58970
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54350
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10445
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10838
400.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8011
295.8 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1372
23.7 IPS |
