MacBook Pro (16-inch, 2021)
Geekbench AI Score
3680
Single Precision Score
5786
Half Precision Score
4694
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krshnndu |
| Upload Date | June 09 2025 05:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11046
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21871
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17074
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3098
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10282
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7151
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21941
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32119
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25873
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4001
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4775
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4848
83.8 IPS |
