MacBook Pro (16-inch, 2021)
Geekbench AI Score
3741
Single Precision Score
16457
Half Precision Score
16036
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:52 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
6895
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6572
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9755
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10414
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71263
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65812
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7950
632.4 IPS |
|
|
Object Detection (Q)
|
91% |
7366
588.6 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
16094
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
12829
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6002
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51797
399.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53277
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22310
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120441
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116430
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25868
955.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28005
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3882
67.1 IPS |
