MacBook Pro (16-inch, 2021)
Geekbench AI Score
11724
Single Precision Score
12748
Half Precision Score
11567
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5190
965.2 IPS |
|
|
Image Classification (HP)
|
100% |
5291
984.0 IPS |
|
|
Image Classification (Q)
|
97% |
4610
860.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10221
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10449
169.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10498
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57047
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
61323
71.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
55772
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
5327
422.5 IPS |
|
|
Object Detection (HP)
|
100% |
5432
430.9 IPS |
|
|
Object Detection (Q)
|
91% |
4649
371.5 IPS |
|
|
Face Detection (SP)
|
100% |
21433
254.7 IPS |
|
|
Face Detection (HP)
|
100% |
22523
267.6 IPS |
|
|
Face Detection (Q)
|
100% |
16649
197.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27244
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27255
210.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23055
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96635
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121636
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112830
145.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16998
627.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17607
650.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13727
506.9 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1452
25.1 IPS |
