MacBook Pro (16-inch, 2021)
Geekbench AI Score
3862
Single Precision Score
14048
Half Precision Score
14434
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:28 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
6946
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7338
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5894
95.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5897
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11237
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69644
81.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66429
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (HP)
|
99% |
7467
594.0 IPS |
|
|
Object Detection (Q)
|
91% |
7479
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
11972
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
12981
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5980
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46445
357.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
49940
386.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23274
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
118504
152.3 IPS |
|
|
Style Transfer (Q)
|
100% |
123782
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26110
964.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28018
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2159
37.3 IPS |
