MacBook Pro (16-inch, 2023)
Geekbench AI Score
3994
Single Precision Score
27143
Half Precision Score
30469
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
14339
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
17557
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19603
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24314
394.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11805
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106796
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105755
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.0 IPS |
|
|
Object Detection (HP)
|
99% |
16032
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17935
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
34177
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
43007
511.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88680
683.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111395
870.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24746
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204689
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
196261
253.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42677
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51008
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4290
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4257
73.6 IPS |
