MacBook Pro (16-inch, 2021)
Geekbench AI Score
9760
Single Precision Score
10075
Half Precision Score
3062
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4876
906.9 IPS |
|
|
Image Classification (HP)
|
100% |
4924
915.7 IPS |
|
|
Image Classification (Q)
|
97% |
3770
703.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9895
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9514
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56772
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
60081
70.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
52966
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
5013
397.6 IPS |
|
|
Object Detection (HP)
|
100% |
5224
414.4 IPS |
|
|
Object Detection (Q)
|
92% |
4116
328.6 IPS |
|
|
Face Detection (SP)
|
100% |
18927
224.9 IPS |
|
|
Face Detection (HP)
|
100% |
19757
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
13907
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26727
205.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27918
215.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
174.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96509
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120365
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110011
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17502
646.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17866
659.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13285
490.6 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.4 IPS |
|
|
Text Classification (HP)
|
100% |
619
825.7 IPS |
|
|
Text Classification (Q)
|
93% |
517
693.2 IPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
882
15.2 IPS |
