MacBook Pro (16-inch, 2021)
Geekbench AI Score
3787
Single Precision Score
16587
Half Precision Score
16456
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
7113
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6601
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9817
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10457
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72103
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
68025
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
8044
639.9 IPS |
|
|
Object Detection (Q)
|
91% |
7405
591.7 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
15326
182.1 IPS |
|
|
Face Detection (Q)
|
100% |
15423
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5987
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51820
399.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53755
420.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22686
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121442
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117172
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26195
967.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27984
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3841
66.4 IPS |
