MacBook Pro (16-inch, 2021)
Geekbench AI Score
9963
Single Precision Score
10071
Half Precision Score
8533
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:07 AM |
| Views | 13 |
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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4753
884.0 IPS |
|
|
Image Classification (HP)
|
100% |
4952
921.0 IPS |
|
|
Image Classification (Q)
|
99% |
4111
766.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9321
151.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9674
156.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9107
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56319
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
59981
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
52146
61.1 IPS |
|
|
Object Detection (SP)
|
100% |
4886
387.6 IPS |
|
|
Object Detection (HP)
|
100% |
5135
407.3 IPS |
|
|
Object Detection (Q)
|
92% |
4007
319.8 IPS |
|
|
Face Detection (SP)
|
100% |
17527
208.3 IPS |
|
|
Face Detection (HP)
|
100% |
18476
219.5 IPS |
|
|
Face Detection (Q)
|
100% |
12209
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26286
202.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27666
213.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
27659
213.9 IPS |
|
|
Style Transfer (SP)
|
100% |
95556
122.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118775
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
117383
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17321
639.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17657
652.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13139
486.8 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.8 IPS |
|
|
Text Classification (Q)
|
93% |
572
767.9 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
879
15.2 IPS |
