MacBook Pro (16-inch, 2021)
Geekbench AI Score
8536
Single Precision Score
8952
Half Precision Score
8269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4071
757.1 IPS |
|
|
Image Classification (HP)
|
100% |
4123
766.7 IPS |
|
|
Image Classification (Q)
|
97% |
3464
646.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6312
102.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6450
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6417
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32908
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34925
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32338
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.8 IPS |
|
|
Object Detection (Q)
|
91% |
3424
273.6 IPS |
|
|
Face Detection (SP)
|
100% |
13991
166.2 IPS |
|
|
Face Detection (HP)
|
100% |
14758
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
10569
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19827
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20678
159.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17440
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53989
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63884
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59901
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10982
405.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11311
417.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8889
328.2 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1597
27.6 IPS |
