MacBook Pro (14-inch, 2021)
Geekbench AI Score
3752
Single Precision Score
14985
Half Precision Score
14780
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | September 30 2024 03:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
7101
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6750
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6443
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6731
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69983
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65853
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
8043
639.8 IPS |
|
|
Object Detection (Q)
|
91% |
7416
592.5 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
15993
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
14939
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5885
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50915
392.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53700
419.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22490
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120347
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116361
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26451
976.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28478
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2136
36.9 IPS |
