MacBook Pro (16-inch, 2021)
Geekbench AI Score
2074
Single Precision Score
12586
Half Precision Score
13179
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cconnor |
| Upload Date | August 19 2024 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
7300
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
7714
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10153
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69246
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
66435
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (HP)
|
99% |
7494
596.1 IPS |
|
|
Object Detection (Q)
|
93% |
7243
577.9 IPS |
|
|
Face Detection (SP)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
10812
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
11636
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3344
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46220
356.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
50359
389.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12093
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118559
152.4 IPS |
|
|
Style Transfer (Q)
|
100% |
124236
159.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3054
112.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18539
684.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23597
874.2 IPS |
|
|
Text Classification (SP)
|
100% |
666
888.6 IPS |
|
|
Text Classification (HP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3386
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1890
32.7 IPS |
