MacBook Pro (16-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
16428
Half Precision Score
16304
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 07:04 AM |
| Views | 13 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
6855
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6573
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9812
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70975
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65828
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7903
628.7 IPS |
|
|
Object Detection (Q)
|
91% |
7384
590.0 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16174
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
14963
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5991
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51192
394.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53166
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120292
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116225
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25959
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27821
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3859
66.7 IPS |
