MacBook Pro (16-inch, 2021)
Geekbench AI Score
3681
Single Precision Score
16480
Half Precision Score
16385
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 06:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6864
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6603
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9743
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11070
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70708
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67487
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
8009
637.1 IPS |
|
|
Object Detection (Q)
|
91% |
7487
598.2 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16259
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
15113
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51751
398.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
52901
413.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21970
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119995
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115912
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25872
955.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27999
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3842
66.4 IPS |
