MacBook Pro (16-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
16447
Half Precision Score
16399
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krshnndu |
| Upload Date | June 09 2025 05:24 AM |
| Views | 6 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6899
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6560
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9747
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10460
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10952
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70186
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67362
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7981
634.9 IPS |
|
|
Object Detection (Q)
|
91% |
7488
598.3 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15839
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
15154
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51718
398.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53827
420.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21880
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121262
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116866
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25932
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27738
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3864
66.8 IPS |
