MacBook Pro (16-inch, 2021)
Geekbench AI Score
3603
Single Precision Score
16330
Half Precision Score
16218
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
6989
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6566
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10327
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10620
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69697
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66856
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7888
627.5 IPS |
|
|
Object Detection (Q)
|
91% |
7536
602.2 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
15201
180.6 IPS |
|
|
Face Detection (Q)
|
100% |
14294
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52267
402.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53094
414.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20879
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119987
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116192
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4153
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25786
952.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27805
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3878
67.0 IPS |
