MacBook Pro (16-inch, 2021)
Geekbench AI Score
3714
Single Precision Score
16591
Half Precision Score
16263
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lylehm |
| Upload Date | August 24 2025 04:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
6970
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6649
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9774
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70891
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67136
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
8017
637.7 IPS |
|
|
Object Detection (Q)
|
91% |
7521
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
16312
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
13060
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51366
395.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54314
424.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21962
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121868
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116638
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4421
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26138
965.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28247
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4079
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3874
67.0 IPS |
