MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
14789
Half Precision Score
14678
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bassiek |
| Upload Date | October 07 2024 03:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
6702
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6544
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6422
104.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6701
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11045
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69805
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65812
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7890
627.7 IPS |
|
|
Object Detection (Q)
|
91% |
7374
589.2 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15894
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
14814
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5932
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50991
392.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54540
426.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120074
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115652
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25912
956.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27880
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2146
37.1 IPS |
