MacBook Pro (16-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
15962
Half Precision Score
15748
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
6695
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6370
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10176
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11161
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69476
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65232
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
7738
615.5 IPS |
|
|
Object Detection (Q)
|
91% |
7187
574.3 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
15110
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
14164
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51012
393.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52353
409.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22376
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119005
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114984
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4386
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25885
955.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27861
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3308
57.2 IPS |
