MacBook Pro (16-inch, 2021)
Geekbench AI Score
3787
Single Precision Score
6058
Half Precision Score
4835
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rmckayfleming |
| Upload Date | April 09 2025 08:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
96% |
1553
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22876
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17376
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1764
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5159
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10295
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7197
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22524
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35212
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26935
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4276
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5136
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5115
88.4 IPS |
