MacBook Pro (16-inch, 2021)
Geekbench AI Score
3757
Single Precision Score
14699
Half Precision Score
14439
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6856
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6545
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6496
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6777
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11148
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72143
84.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68058
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
99% |
7895
628.1 IPS |
|
|
Object Detection (Q)
|
91% |
7368
588.7 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
15890
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
13787
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6023
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52233
402.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53625
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21751
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121489
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117334
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25782
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28240
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1848
31.9 IPS |
