MacBook Pro (16-inch, 2021)
Geekbench AI Score
2776
Single Precision Score
4211
Half Precision Score
3457
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:04 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
99% |
1597
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1204
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5618
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13053
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11164
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
1887
150.2 IPS |
|
|
Object Detection (Q)
|
94% |
1456
116.0 IPS |
|
|
Face Detection (SP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2530
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5003
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7863
60.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3477
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14798
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23726
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23553
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4261
157.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3238
120.0 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3219
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3212
55.5 IPS |
