MacBook Pro (16-inch, 2021)
Geekbench AI Score
3634
Single Precision Score
5634
Half Precision Score
4649
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | March 08 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (Q)
|
96% |
1482
276.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2642
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10948
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21619
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16711
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2260
179.9 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10860
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7317
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21322
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32277
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26245
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6210
229.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3997
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3318
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
