MacBook Pro (14-inch, 2021)
Geekbench AI Score
11255
Single Precision Score
12616
Half Precision Score
11514
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 11:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
5415
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5632
1.05 KIPS |
|
|
Image Classification (Q)
|
97% |
4759
888.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10461
169.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10711
173.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10804
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57781
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61228
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56683
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (HP)
|
100% |
5007
397.1 IPS |
|
|
Object Detection (Q)
|
91% |
4876
389.6 IPS |
|
|
Face Detection (SP)
|
100% |
22219
264.0 IPS |
|
|
Face Detection (HP)
|
100% |
23303
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
17191
204.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27696
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28718
221.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
24665
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
98431
126.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122746
157.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114821
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17601
649.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17911
661.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14891
549.9 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
