MacBook Pro (16-inch, 2021)
Geekbench AI Score
2764
Single Precision Score
4167
Half Precision Score
3628
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 09:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
1588
295.4 IPS |
|
|
Image Classification (Q)
|
96% |
1267
236.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5688
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13029
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11330
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
1871
149.0 IPS |
|
|
Object Detection (Q)
|
94% |
1462
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7836
60.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6012
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14739
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23659
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20141
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3316
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3280
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3554
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3217
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3113
53.8 IPS |
