MacBook Pro (16-inch, 2021)
Geekbench AI Score
3676
Single Precision Score
16502
Half Precision Score
16382
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | WeisseMoehre |
| Upload Date | May 24 2025 07:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6938
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6547
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9765
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10989
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70594
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66098
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
7995
636.0 IPS |
|
|
Object Detection (Q)
|
91% |
7509
600.0 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
16102
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51152
394.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53946
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21977
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121368
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116473
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26226
968.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28040
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3861
66.7 IPS |
