MacBook Pro (16-inch, 2021)
Geekbench AI Score
11566
Single Precision Score
12344
Half Precision Score
11036
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | patrikwm |
| Upload Date | February 09 2025 09:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5116
951.4 IPS |
|
|
Image Classification (HP)
|
100% |
4924
915.7 IPS |
|
|
Image Classification (Q)
|
97% |
4370
815.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10004
162.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10342
167.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10407
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56971
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
60246
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
55440
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (HP)
|
100% |
5308
421.0 IPS |
|
|
Object Detection (Q)
|
91% |
4590
366.8 IPS |
|
|
Face Detection (SP)
|
100% |
21424
254.6 IPS |
|
|
Face Detection (HP)
|
100% |
22406
266.2 IPS |
|
|
Face Detection (Q)
|
100% |
16252
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26192
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27305
210.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23000
179.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96766
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120964
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112838
145.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16951
625.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17295
638.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13580
501.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1012
17.5 IPS |
