MacBook Pro (16-inch, 2021)
Geekbench AI Score
3704
Single Precision Score
5876
Half Precision Score
4725
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | June 26 2025 08:18 PM |
| Views | 5 |
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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (Q)
|
96% |
1511
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2621
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11004
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22436
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17247
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3116
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5856
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10296
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7119
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22008
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32870
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27041
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4812
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4788
82.7 IPS |
