MacBook Pro (16-inch, 2021)
Geekbench AI Score
3556
Single Precision Score
14739
Half Precision Score
14480
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
6333
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5755
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8844
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9097
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10179
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69170
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66018
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
6683
531.6 IPS |
|
|
Object Detection (Q)
|
91% |
6509
520.1 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
13147
156.2 IPS |
|
|
Face Detection (Q)
|
100% |
12283
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5565
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46309
356.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47272
369.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21456
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118393
152.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112448
145.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24979
922.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25376
937.0 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2519
43.5 IPS |
