MacBook Pro (16-inch, 2021)
Geekbench AI Score
3806
Single Precision Score
16782
Half Precision Score
16661
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rmckayfleming |
| Upload Date | April 09 2025 08:52 PM |
| Views | 6 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
7174
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6728
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9796
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10935
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
72177
84.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67208
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.6 IPS |
|
|
Object Detection (HP)
|
99% |
8206
652.7 IPS |
|
|
Object Detection (Q)
|
91% |
7630
609.7 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16442
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15742
187.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5951
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52543
404.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54846
428.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22709
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122257
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118003
152.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26343
972.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28494
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3872
66.9 IPS |
