MacBook Pro (16-inch, 2021)
Geekbench AI Score
3673
Single Precision Score
16522
Half Precision Score
16421
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
7013
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6664
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10436
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10990
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71266
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67514
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8005
636.8 IPS |
|
|
Object Detection (Q)
|
91% |
7458
596.0 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
15975
189.8 IPS |
|
|
Face Detection (Q)
|
100% |
15116
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51690
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53927
421.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21932
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121294
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116173
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26177
966.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28075
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3838
66.3 IPS |
