MacBook Pro (16-inch, 2021)
Geekbench AI Score
11007
Single Precision Score
12043
Half Precision Score
10639
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | arjanscholl |
| Upload Date | October 13 2024 07:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4786
890.1 IPS |
|
|
Image Classification (HP)
|
100% |
4769
886.8 IPS |
|
|
Image Classification (Q)
|
97% |
4073
760.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9894
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10106
163.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10187
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56437
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59881
69.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55032
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
5011
397.5 IPS |
|
|
Object Detection (HP)
|
100% |
5056
401.0 IPS |
|
|
Object Detection (Q)
|
91% |
4357
348.1 IPS |
|
|
Face Detection (SP)
|
100% |
21038
250.0 IPS |
|
|
Face Detection (HP)
|
100% |
21631
257.0 IPS |
|
|
Face Detection (Q)
|
100% |
15765
187.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25840
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26583
204.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22203
173.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95719
123.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118806
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111175
143.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15994
590.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16050
592.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12972
479.0 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
