MacBook Pro (16-inch, 2021)
Geekbench AI Score
11004
Single Precision Score
12579
Half Precision Score
11127
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wynnr |
| Upload Date | March 27 2025 04:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
5274
980.8 IPS |
|
|
Image Classification (HP)
|
100% |
5248
975.9 IPS |
|
|
Image Classification (Q)
|
97% |
4547
848.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10162
164.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10449
169.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10581
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57188
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60614
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55776
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (HP)
|
100% |
5438
431.3 IPS |
|
|
Object Detection (Q)
|
91% |
4764
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
21344
253.6 IPS |
|
|
Face Detection (HP)
|
100% |
22260
264.5 IPS |
|
|
Face Detection (Q)
|
100% |
16495
196.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26544
204.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27838
214.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
23438
183.2 IPS |
|
|
Style Transfer (SP)
|
100% |
97236
125.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121365
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113442
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17081
630.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17725
654.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13895
513.1 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
924
16.0 IPS |
