MacBook Pro (16-inch, 2021)
Geekbench AI Score
3711
Single Precision Score
5687
Half Precision Score
4670
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | arjanscholl |
| Upload Date | October 13 2024 07:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (Q)
|
96% |
1462
272.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10777
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21714
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17282
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3183
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10228
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7231
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21320
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34454
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25579
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3475
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4867
84.1 IPS |
